DocumentCode
257517
Title
Grey discrete parameters model and its application
Author
Yingjian Qi ; Zhengpeng Wu ; Ying Li ; Jing Yu
Author_Institution
Fac. of Sci. & Technol., Commun. Univ. of China, Beijing, China
fYear
2014
fDate
4-6 June 2014
Firstpage
399
Lastpage
404
Abstract
To solve the problem that the growth of prediction of discrete grey model is constant, the paper establishes a new grey discrete parameters prediction model by instructing quadratic time-varying parameters, which is called as quadratic time-varying discrete grey model(referred to as QDGM(1,1)). We discuss the affine properties of QDGM model. The paper employed a majorization principle to optimizing the iterative starting value of the new model, and introduced the steps of using QDGM (1, 1) to predict. Finally, there is an instance that demonstrates the new model has the best results in the four discrete grey models. It was proved that the new model greatly improves the simulation and prediction precision.
Keywords
grey systems; iterative methods; quadratic programming; QDGM(I,I)); grey discrete parameters prediction model; grey system theory; iterative starting value optimization; majorization principle; quadratic time-varying discrete grey model; quadratic time-varying parameters; Accuracy; Biological system modeling; Forecasting; Predictive models; grey discrete parameters prediction; quadratic time-varing parameters; simulation and prediction;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Science (ICIS), 2014 IEEE/ACIS 13th International Conference on
Conference_Location
Taiyuan
Type
conf
DOI
10.1109/ICIS.2014.6912166
Filename
6912166
Link To Document